CNN based keyword spotting: An application for context based voiced Odia words-Reference-Cited by-同舟云学术

CNN based keyword spotting: An application for context based voiced Odia words

Published:2022-06-14 Issue:7 Volume:14 Page:3647-3658
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Mohanty Prithviraj,Nayak Ajit Kumar

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s41870-022-00992-z.pdf

Reference35 articles.

1. Schalkwyk J, Beeferman D, Beaufays F, Byrne B, Chelba C, Cohen M, Kamvar M, Strope B (2010) Your word is my command: Google search by voice: a case study. Adv Speech Recogn, 61-90

2. Guoguo C, Parada C, Heigold G (2014) Small-footprint keyword spotting using deep neural networks.IEEE Int Conf Acoust Speech Signal Proces (ICASSP), Florence, 4087-4091

3. Rohlicek JR, Russell W, Roukos S, Gish H (1990) Continuous hidden Markov modeling for speaker-independent wordspotting. In: Proc Int Conf Acoust Speech Signal Proces (ICASSP). IEEE, 627–630

4. Rose RC, Paul DB (1990). A hidden Markov model based keyword recognition system. In: Proc Int Conf Acoust Speech Signal Proces (ICASSP). IEEE, 129-132

5. Wilpon JG, Miller LG, Modi P (1991) Improvements and applications for key word recognition using hidden Markov modeling techniques. In: Proc Int Conf Acoust Speech Signal Processing (ICASSP). IEEE, 309-312

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spoken word recognition using a novel speech boundary segment of voiceless articulatory consonants;International Journal of Information Technology;2024-03-17

2. Use of Graphical Data to Predict Earthquakes through Neural Network Approach;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28

3. A Resource-Efficient Keyword Spotting System Based on a One-Dimensional Binary Convolutional Neural Network;Electronics;2023-09-20

4. Study on an English Speaking Practice System based on Automatic Speech Recognition Technology;Journal of Education and Educational Research;2023-06-26

5. Convolutional Neural Networks for Deep Spoken Keyword Spotting;2023 3rd International Conference on Artificial Intelligence (ICAI);2023-02-22